Explore My AI-Powered Retail & E-commerce Projects

AI applications that improve product content, understand customer feedback, and support store operations

Welcome to My AI-Powered Retail & E-commerce Projects

Retail success depends on strong product presentation and understanding customer needs. In this section, I present AI projects that support e-commerce teams with content and insights. These tools can generate product titles, bullet points, and descriptions that match a brand tone and improve clarity for shoppers. Other projects analyze customer reviews to find common complaints, repeated requests, and top-liked features. Some projects also help clean product catalogs by organizing attributes and creating consistent tags. The goal is to help stores move faster, improve quality, and make better decisions using customer-driven insights.

review analysis agent

A retail / eCommerce “Review Analysis Agent” that was built to turn large sets of customer reviews into clear, evidence-based insights that anyone can understand. You choose a product (and you can optionally compare it with another one), then set simple filters like date range, rating range, verified-purchase only, and minimum helpful votes.

The app pulls the matching reviews from a database, uses smart sampling to keep results fast and fair, and generates a report that highlights overall sentiment, key themes, top praises, and top complaints—while showing short proof snippets from real reviews so people can double-check the conclusions.

It also includes an analytics dashboard (rating distribution, trends over time, verified vs non-verified comparison, keywords, and topic clusters) and practical “production-ready” features like authentication, quotas, caching, logging, and backups, plus easy export to Markdown/HTML/PDF and CSV for sharing with teams.

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